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Nonholonomic Narrow Dead-End Escape with Deep Reinforcement Learning
Published in Proceedings of the 2025 9th International Conference on Computer Science and Artificial Intelligence, 2025
A CSAI 2025 conference paper on reinforcement learning for Ackermann-style nonholonomic robots escaping narrow dead-end environments.
Recommended citation: Denghan Xiong, Yanzhe Zhao, Yutong Chen, and Zichun Wang. 2025. Nonholonomic Narrow Dead-End Escape with Deep Reinforcement Learning. In Proceedings of the 2025 9th International Conference on Computer Science and Artificial Intelligence. ACM, 126-131. https://doi.org/10.1145/3788149.3788204
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